---
language:
- en
license: apache-2.0
base_model: bert-base-uncased
tags:
- mhs
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_uncased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert_base_uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the sentence_puzzle dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0932
- Accuracy: 0.9365

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 36   | 0.2763          | 0.9048   |
| No log        | 2.0   | 72   | 0.2388          | 0.9206   |
| No log        | 3.0   | 108  | 0.2465          | 0.9206   |
| No log        | 4.0   | 144  | 0.0958          | 0.9206   |
| No log        | 5.0   | 180  | 0.0932          | 0.9365   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3